Minh Tang

Orcid: 0000-0003-1420-7187

Affiliations:
  • Johns Hopkins University, USA


According to our database1, Minh Tang authored at least 34 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Regression for matrix-valued data via Kronecker products factorization.
CoRR, 2024

2023
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs.
J. Comput. Graph. Stat., January, 2023

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference.
J. Comput. Graph. Stat., January, 2023

Motif-Based Exploratory Data Analysis for State-Backed Platform Manipulation on Twitter.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming.
J. Comput. Graph. Stat., October, 2022

Adversarial contamination of networks in the setting of vertex nomination: a new trimming method.
CoRR, 2022

Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics.
CoRR, 2022

2021
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.
J. Mach. Learn. Res., 2021

Classification of high-dimensional data with spiked covariance matrix structure.
CoRR, 2021

Consistency of random-walk based network embedding algorithms.
CoRR, 2021

2020
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs.
CoRR, 2020

2019
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs.
Netw. Sci., 2019

2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
CoRR, 2018

The eigenvalues of stochastic blockmodel graphs.
CoRR, 2018

2017
Community Detection and Classification in Hierarchical Stochastic Blockmodels.
IEEE Trans. Netw. Sci. Eng., 2017

Statistical Inference on Random Dot Product Graphs: a Survey.
J. Mach. Learn. Res., 2017

A statistical interpretation of spectral embedding: the generalised random dot product graph.
CoRR, 2017

A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Path-Cost Bounds for Parameterized Centralized Variants of A* for Static and Certain Environments.
Int. J. Artif. Intell. Tools, 2016

2014
Locality Statistics for Anomaly Detection in Time Series of Graphs.
IEEE Trans. Signal Process., 2014

Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Generalized canonical correlation analysis for classification.
J. Multivar. Anal., 2014

2013
Attribute Fusion in a Latent Process Model for Time Series of Graphs.
IEEE Trans. Signal Process., 2013

Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown.
SIAM J. Matrix Anal. Appl., 2013

Generalized canonical correlation analysis for disparate data fusion.
Pattern Recognit. Lett., 2013

On Latent Position Inference from Doubly Stochastic Messaging Activities.
Multiscale Model. Simul., 2013

Metric Space Structures for Computational Anatomy.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Inference in time series of graphs using locality statistics.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A Comparison of Graph Embedding Methods for Vertex Nomination.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2007
Generating Functions and the Solutions of Full History Recurrence Equations.
Electron. Notes Discret. Math., 2007

2006
State-space Planning with Variants of A*.
Int. J. Artif. Intell. Tools, 2006

2004
Variants of A* for Planning.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Search Control Techniques for Planning.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003


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